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English NER

Introduction to the Named Entity Recognition API for English texts.

The English NER API helps extract information about entities appearing in English texts.

Key Features

  1. Highly Accurate Entity Detection: Our API leverages cutting-edge NER models that provide precise and reliable entity recognition across diverse English text, ensuring accuracy in various domains.
  2. Ease of Integration: Our developer-friendly API documentation makes integration a breeze, allowing you to seamlessly incorporate NER capabilities into your existing applications.
  3. Scalability and Speed: Experience fast response times and handle a high volume of requests, making our API suitable for real-time applications and large-scale text processing.
  4. Non-Persistence of Request Data: We do not store any of the text sent in the request on our servers. Once the API processes the request and returns the response, the text data is immediately discarded. This ensures that your English text data remains confidential and is not retained after processing.
  5. Continuous Updates and Improvements: As NLP techniques evolve, our NER API will adapt and improve to incorporate the latest advancements, ensuring state-of-the-art performance for your English language needs.

Use Cases

  • Chatbot Intelligence: Elevate your chatbots to new levels of comprehension by enabling them to recognize entities in user queries, leading to more contextually relevant and personalized responses.
  • Information Extraction: Automate the extraction of vital information from vast amounts of English text, streamlining data processing and analysis for enhanced decision-making.
  • Search and Information Retrieval: Improve search functionalities by identifying entities and delivering more accurate and targeted search results, enhancing user experience.
  • Content Categorization: Automatically categorize English content based on identified entities, making content organization and recommendation systems more efficient.
  • Sentiment Analysis and Social Media Monitoring: Monitor social media conversations for mentions of specific entities, enabling sentiment analysis and brand reputation management.
  • Document Summarization: Utilize entity information in English documents to generate concise summaries, facilitating easier comprehension and analysis of key topics.

Form Data

FieldData TypeDescription
textstringText which is used for NER


FieldData TypeDescription
status_codeintHTTP response code
resultobjectNER result
message_errorstringMessage error (if exists)